Inthis paper,werely onabroader viewofpropercompositelosses and arecent construct from information geometry,sourcefunctions, whose fitting alleviates constraints faced by canonical links.

Yet, their method calledSTORM crucially relies on the knowledge of thesmoothness, aswellaboundonthegradient norms.

Inthis paper,wepropose asimple yet effectivemethod for GFSS that does not use the techniques mentioned above. Also, wetheoretically show that our method perfectly maintains the segmentation performance of the base-class modelovermostofthebaseclasses. Through numerical experiments, we demonstrated the effectiveness of our method. It improved in novel-class segmentation performance in the1-shot scenario by6.1% on the PASCAL-5i dataset,4.7%on

We provide theoretical analysis on the convergence of Flow and empirically demonstrate the superiority of Flow in improving clients' accuracy compared

Will the Gulf's push for its own AI succeed? That, and US tech giants' plans to spend more than $600bn this year alone. Can the Gulf states capture some of the US's tech dominance for themselves? I spent most of last week in Doha at the Web Summit Qatar, the Gulf's new version of the popular annual tech conference. One theme stood out among the speeches I watched and the conversations I had: sovereignty.